Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment
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With the continuous growth in the number of parameters of the Transformer-based pretrained language models (PLMs), particularly the emergence of large language models (LLMs) with billions of parameters, many natural language processing (NLP) tasks have demonst... ...
